Computer Vision Vs Electronics HD

Solar energy is one of the most promising and fast growing source of renewable energy. This essential technology aims to replace costly finite fossil fuel consumption by converting free, natural sunlight into clean, renewable electric power. Many innovative research studies are conducted in this field using advanced measurement and analysis technology to decrease the cost per watt, increase adoption, improve yield, and try also to expand the market through innovative applications. In this same perspective, we present a new acquisition module for optimal photovoltaic panels automatic orientation. Solar trackers are systems that orient automatically photovoltaic panels towards the sun with the aim of increasing the power generation by optimizing the angle of incidence between incoming sun-rays and solar collectors. Traditionally, acquisition modules of solar trackers are based on illumination balancing. Photo-sensors are the most commonly used in order to detect the optimal orientation. However these conventional techniques have several drawbacks as the lack of precision, a limited field of view, and sensitivity to weather changes. We propose a novel acquisition module for solar trackers based on computer vision technology. The proposed device uses an omnidirectional imaging system to provide accurate information about the sun position toward both elevation and azimuth in real time with less sensitivity to weather conditions. And it has a wide field of view of 360° horizontally and 200° vertically. The reliability of this concept was confirmed by several conducted experiments.